BCP command to export table data to excel with column header

Hi Friends,
Here is a perfect running BCP command / SQL query which exports table data into excel sheet with column headers.

I spent almost 5 hrs to got it working, exporting data without column headers is a very easy job.
but the main task was getting column headers also in the first row of excel sheet..
so here is the script.. enjoy




NOTE: don't forget to replace RED elements with your local environment elements

use database
go
if object_id('spExportData_n') is not null
drop proc spExportData_n
go
create proc spExportData_n
(
@dbName varchar(100) = 'database name',
@sql varchar(8000) = 'select col1,col2,col3....col4 from table',
@fullFileName varchar(100) = 'output file path'
)
as
if @sql = '' or @fullFileName = ''
begin
select 0 as ReturnValue -- failure
return
end
-- if DB isn't passed in set it to master
select @dbName = 'use ' + @dbName + ';'
if object_id('##TempExportData') is not null
drop table ##TempExportData
if object_id('##TempExportData2') is not null
drop table ##TempExportData2
-- insert data into a global temp table
declare @columnNames varchar(8000), @columnConvert varchar(8000), @tempSQL varchar(8000)

select @tempSQL = left(@sql, charindex('from', @sql)-1) + ' into ##TempExportData ' +
substring(@sql, charindex('from', @sql)-1, len(@sql))

exec(@dbName + @tempSQL)
if @@error > 0
begin
select 0 as ReturnValue -- failure
return
end
-- build 2 lists
-- 1. column names
-- 2. columns converted to nvarchar
SELECT @columnNames = COALESCE( @columnNames + ',', '') + column_name,
@columnConvert = COALESCE( @columnConvert + ',', '') + 'convert(nvarchar(4000),'
+ column_name + case when data_type in ('datetime', 'smalldatetime') then ',121'
when data_type in ('numeric', 'decimal') then ',128'
when data_type in ('float', 'real', 'money', 'smallmoney') then ',2'
when data_type in ('datetime', 'smalldatetime') then ',120'
else ''
end + ') as ' + column_name
FROM tempdb.INFORMATION_SCHEMA.Columns
WHERE table_name = '##TempExportData'

-- execute select query to insert data and column names into new temp table
SELECT @sql = 'select ' + @columnNames + ' into ##TempExportData2 from (select ' + @columnConvert + ', ''2'' as [temp##SortID] from ##TempExportData union all select ''' + replace(@columnNames, ',', ''', ''') + ''', ''1'') t order by [temp##SortID]'

exec (@sql)

-- build full BCP query
DECLARE @bcpCommand VARCHAR(8000)
SET @bcpCommand = 'bcp " SELECT * from ##TempExportData2" queryout'
SET @bcpCommand = @bcpCommand + ' C:\Temp\test.csv -c -w -T -U sa -P sa","-CRAW'
EXEC database..xp_cmdshell @bcpCommand
if @@error > 0
begin
select 0 as ReturnValue -- failure
return
end
drop table ##TempExportData
drop table ##TempExportData2
set @columnNames =' '
set @columnConvert =' '
set @tempSQL =' '
select 1 as ReturnValue

CTE to delete duplicate rows from a table

Common-table expressions are a very useful new feature in SQL Server 2005. You can use them for recursive queries,

removing duplicates, and even simple looping procedures.

With some crafty TSQL, this is a relatively easy task to do when a primary key defined on the table. Luckily, the

new CTE feature in SQL Server 2005 makes it very easy to remove these duplicates, with or without a primary key.

The script below defines my CTE. I am using a windowing function named DENSE_RANK to group the records together

based on the Product, SaleDate, and SalePrice fields, and assign them a sequential value randomly. This means that

if I have two records with the exact same Product, SaleDate, and SalePrice values, the first record will be ranked

as 1, the second as 2, and so on.

WITH SalesCTE(Product, SaleDate, SalePrice, Ranking)
AS
(

SELECT Product, SaleDate, SalePrice,Ranking = DENSE_RANK() OVER(PARTITION BY Product, SaleDate, SalePrice ORDER BY

NEWID() ASC)
FROM SalesHistory

)

DELETE FROM SalesCTE WHERE Ranking > 1
Because a CTE acts as a virtual table, I am able to process data modification statements against it, and the

underlying table will be affected. In this case, I am removing any record from the SalesCTE that is ranked higher

than 1. This will remove all of my duplicate records.

To verify my duplicates have been removed, I can review the data in the table, which should now contain 8 records,

rather than the previous 10.

SELECT *FROM SalesHistory